Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price.
Today we’re releasing DeepSWE, a new standard for agentic coding benchmarks.
On public leaderboards, top models often look relatively close in capability. DeepSWE shows where they actually diverge, reflecting the realistic experience of developers in their day-to-day work.
🚀 Better inference efficiency, lower costs, broader access.
MiMo-V2.5 Series API pricing is now permanently reduced — by up to 99% compared to previous pricing.
✨ Unified pricing across all context lengths.
MiMo Token Plans have also been upgraded:
• 5–8× more usable tokens at the same price
• Simpler and more transparent billing rules
🎁 As a thank-you to current users, all current Token Plan credits will be fully reset.
🎧 MiMo-V2.5-TTS remains free for a limited time.
⏰ Effective May 26 at 6:00 PM PDT.
These improvements are powered by continued inference optimization and serving efficiency upgrades across the MiMo stack.
🛠️ We’ll also publish a detailed technical blog on the inference optimizations later — stay tuned.
this OpenClaw bot finds hotels with ugly listing photos, redrafts them as IG posts, and mails the owner a postcard...on autopilot.
here's how social-media agencies can use this system and land hotel clients:
- scrapes every hotel in a city in real time
- filters by review count + rating + last post date + photo quality
- pulls the strongest interior shot from the Google Maps listing
- samples the brand palette from the hotel's actual visual identity
- AI-redrafts the photo into a 1:1 brand-matched Instagram post
- writes a postcard quoting a real reviewer + the exact space
- mails it to the owner hand-addressed with a preview QR
every step from discovery to brand-matching to outreach is automated.
reply "HOTEL" + RT and I'll send you a free guide so you can build this too
this OpenClaw bot finds restaurants with ugly food photos, redrafts them as IG posts, and mails the owner a postcard...on autopilot.
here's how social-media agencies can use this system and land clients:
- scrapes every restaurant in a city in real time
- filters by review count + rating + last post date + photo quality
- pulls the strongest food photo from Google Maps reviews
- samples the brand palette from the restaurant's own visual identity
- AI-redrafts the photo into a 9:16 brand-matched Instagram post
- writes a postcard quoting a real reviewer + dish
- mails it to the owner by first name with a preview QR
every step from discovery to brand-matching to outreach is automated.
reply "GUIDE" + RT and I'll send you a free guide so you can build this too